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Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis
A rapid and sensitive method to determine the characteristics of carcinogens is needed. In this study, we used a microarray-based genomics approach, with a short-term in vivo model, in combination with insights from statistical and mechanistic analyses to determine the characteristics of carcinogens...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505678/ https://www.ncbi.nlm.nih.gov/pubmed/24089152 http://dx.doi.org/10.1038/srep02783 |
_version_ | 1783416801986609152 |
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author | Lee, Seul Ji Yum, Young Na Kim, Sang Cheol Kim, Yuneung Lim, Johan Lee, Won Jun Koo, Kyung Hye Kim, Joo Hwan Kim, Jee Eun Lee, Woo Sun Sohn, Soojung Park, Sue Nie Park, Jeong Hill Lee, Jeongmi Kwon, Sung Won |
author_facet | Lee, Seul Ji Yum, Young Na Kim, Sang Cheol Kim, Yuneung Lim, Johan Lee, Won Jun Koo, Kyung Hye Kim, Joo Hwan Kim, Jee Eun Lee, Woo Sun Sohn, Soojung Park, Sue Nie Park, Jeong Hill Lee, Jeongmi Kwon, Sung Won |
author_sort | Lee, Seul Ji |
collection | PubMed |
description | A rapid and sensitive method to determine the characteristics of carcinogens is needed. In this study, we used a microarray-based genomics approach, with a short-term in vivo model, in combination with insights from statistical and mechanistic analyses to determine the characteristics of carcinogens. Carcinogens were evaluated based on the different mechanisms involved in the responses to genotoxic carcinogens and non-genotoxic carcinogens. Gene profiling was performed at two time points after treatment with six training and four test carcinogens. We mapped the DEG (differentially expressed gene)-related pathways to analyze cellular processes, and we discovered significant mechanisms that involve critical cellular components. Classification results were further supported by Comet and Micronucleus assays. Mechanistic studies based on gene expression profiling enhanced our understanding of the characteristics of different carcinogens. Moreover, the efficiency of this study was demonstrated by the short-term nature of the animal experiments that were conducted. |
format | Online Article Text |
id | pubmed-6505678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65056782019-05-21 Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis Lee, Seul Ji Yum, Young Na Kim, Sang Cheol Kim, Yuneung Lim, Johan Lee, Won Jun Koo, Kyung Hye Kim, Joo Hwan Kim, Jee Eun Lee, Woo Sun Sohn, Soojung Park, Sue Nie Park, Jeong Hill Lee, Jeongmi Kwon, Sung Won Sci Rep Article A rapid and sensitive method to determine the characteristics of carcinogens is needed. In this study, we used a microarray-based genomics approach, with a short-term in vivo model, in combination with insights from statistical and mechanistic analyses to determine the characteristics of carcinogens. Carcinogens were evaluated based on the different mechanisms involved in the responses to genotoxic carcinogens and non-genotoxic carcinogens. Gene profiling was performed at two time points after treatment with six training and four test carcinogens. We mapped the DEG (differentially expressed gene)-related pathways to analyze cellular processes, and we discovered significant mechanisms that involve critical cellular components. Classification results were further supported by Comet and Micronucleus assays. Mechanistic studies based on gene expression profiling enhanced our understanding of the characteristics of different carcinogens. Moreover, the efficiency of this study was demonstrated by the short-term nature of the animal experiments that were conducted. Nature Publishing Group 2013-10-03 /pmc/articles/PMC6505678/ /pubmed/24089152 http://dx.doi.org/10.1038/srep02783 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Article Lee, Seul Ji Yum, Young Na Kim, Sang Cheol Kim, Yuneung Lim, Johan Lee, Won Jun Koo, Kyung Hye Kim, Joo Hwan Kim, Jee Eun Lee, Woo Sun Sohn, Soojung Park, Sue Nie Park, Jeong Hill Lee, Jeongmi Kwon, Sung Won Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis |
title | Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis |
title_full | Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis |
title_fullStr | Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis |
title_full_unstemmed | Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis |
title_short | Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis |
title_sort | distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505678/ https://www.ncbi.nlm.nih.gov/pubmed/24089152 http://dx.doi.org/10.1038/srep02783 |
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